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Short and Long of Data Driven Innovation

"'Tis true. There's magic in the Web: The Short and the Long of Co-Creation, Web Science, and Data Driven Innovation". Keynote for the DATA-DRIVEN INNOVATION WORKSHOP 2016 collocated with ACM Web Science 2016, Hannover, Germany, Sunday 22 May 2016

Short and Long of Data Driven Innovation

1.
David De Roure
@dder
'Tis true. There's magic in the Web:
The Short and the Long of Co-Creation,
Web Science, and Data Driven Innovation
DIRECTOR, UNIVERSITY OF OXFORD E-RESEARCH CENTRE

2.
Co-creation ﬂourishes in the Web ecosystem, where
the affordances of the digital bring a new scale of citizen
participation and a new empowerment of the ingenious
human.
As we enter the era of the Internet of Things we
anticipate new opportunities to realise the economic
value of data. But what will happen when data supply
massively outstrips demand, and as innovative data
use is inevitably coupled with increasing
automation?
This talk will take a long view of co-creation, Web
Science, and data driven innovation (roughly from 1600
to 2050).

3.
1. The Long View. Is open innovation really something
new, or are we just undoing the damage of the last
century? I will demonstrate that co-creation (and even
social machines) have been with us for at least 400 years
(I’ll kick off in 1600s with Shakespeare and Royal
Society…) which will put the Web in context and I’ll talk
about mode 1, 2, 3 research.

13.
2. Web Science and the digital economy of the
Internet of Things. A glance forward. I’ll focus
on realising the value of data in IoT through a Web
Science lens, and I'll raise the empowerment of
machines as well as humans (AI, computational
creativity, …)

16.
https://twitter.com/CR_UK/status/446223117841494016/
Some people's smartphones
had autocorrected the word
"BEAT" to instead read
"BEAR".
"Thank you for choosing an
adorable polar bear," the
reply from the WWF said.
"We will call you today to set
up your adoption."
http://www.bbc.com/news/technology-26723457

17.
Social Media Triangle
social media
data and
analytics
social media for
engagement with
research
social media
as a subject
of research
Sam McGregor

19.
A rehearsal for the future
▶ The Internet of Things
describes a world in which
everyday objects are
connected to a network so that
data can be shared
▶ But it is really as much about
people as the inanimate object
▶ It is impossible to anticipate
all the social changes that
could be created by connecting
billions of devices
https://www.gov.uk/government/publications/internet-of-things-blackett-review

20.
There is no such thing as the Internet of Things
There is no such thing as a closed system
Humans are creative and subversive
The Rise of the Bots A Swarm of Drones
Accidents happen (in the lab, bin)
Holding machines to account Software vulnerability
Where are the throttle points?
@dder

27.
3. Future history. When we look back on this
period, what will we see? Is this where we
made the decisions that led to a utopian
future, or the origins of dystopia? How did
web science inform this moment?

29.
It is 2050, and Europe and its knowledge economy are
competitive. Clusters of well-funded, internationally
renowned universities are thriving in many of Europe’s
important and growing cities, in strong partnerships
with regional institutions…
Meanwhile, automation and data-intensive science have
changed the nature of doing research. We have moved
from open science to radical open access: all kinds of
new actors are rushing into the research game,
especially in astronomy, ecology, climate and other ﬁelds
that attract strong public interest. Europe’s research
infrastructures are the new cathedrals of this science:
Open to all, supported by all.

30.
It is 2050, and Europe is a victim of megatrends beyond its
control. Automation and globalisation have triggered mass
unemployment, social exclusion, discontent. Service bots,
machine learning, ubiquitous sensing – what’s left for the
humans to do? Inequality is higher than ever; new creative
jobs are constantly evolving from new technologies, but
they are only for the skilled few.
…the top-cited scientists are in hot demand – often hired
by multinationals in a kind of perpetual ‘consultancy
without borders.’ These companies, on which public labs
and universities rely for major funding, get early access to
the real discoveries and use their inﬂuence to steer the
remaining public funds towards their projects… Europe’s
economic base has hollowed out, and the few innovators its
universities produce quickly move abroad.

31.
1. The Long View. Is mode 2 really something new, or
are we just undoing the damage of the last two
centuries? Co-creation (and social machines) have been
with us forever. We need a new deﬁnition of the
paradigm shift.
2. Web Science and the digital economy of the
Internet of Things. Web Science is poistioned to co-
create the tools and methods to understand data driven
innovation. We need to address ethics of data use in the
face of increasing supply, and the ethics of automation.
3. Future history. When we look back on this period,
what shall we see? Is this where we made the decisions
that led to a utopian future, or the origins of
dystopia? How does Web Science inform this moment?
Is it a discipline or a political campaign?